Friedman 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   31  0.5178  0.0018  0.0724  0.3885  0.0336  0.11
Anderszewski 2003   14  0.5858  0.0030  0.0630  0.2952  0.0434  0.11
Ashkenazy 1981   17  0.5766  0.0015  0.0916  0.4247  0.0527  0.14
Bacha 2000   79  0.3072  0.0077  0.0476  0.0481  0.0374  0.03
Badura 1965   22  0.5532  0.0036  0.0635  0.2339  0.1818  0.20
Barbosa 1983   62  0.408  0.0165  0.0748  0.0771  0.0451  0.05
Biret 1990   53  0.4430  0.0057  0.0563  0.0582  0.0370  0.04
Blet 2003   49  0.4541  0.0044  0.0644  0.1374  0.0349  0.06
Block 1995   70  0.3437  0.0060  0.0557  0.0578  0.0368  0.04
Blumental 1952   60  0.4336  0.0033  0.0637  0.1957  0.0440  0.09
Boshniakovich 1969   36  0.4782  0.0056  0.0470  0.0461  0.0469  0.04
Brailowsky 1960   69  0.3690  0.0078  0.0382  0.0379  0.0476  0.03
Bunin 1987   42  0.4786  0.0028  0.0725  0.3632  0.3010  0.33
Bunin 1987b   44  0.4663  0.0029  0.0926  0.3632  0.319  0.33
Chiu 1999   43  0.4627  0.0066  0.0562  0.0574  0.0357  0.04
Cohen 1997   86  0.1867  0.0086  0.0287  0.0287  0.0290  0.02
Cortot 1951   27  0.5255  0.0035  0.0629  0.2959  0.0530  0.12
Csalog 1996   87  0.0647  0.0088  0.0286  0.0276  0.0388  0.02
Czerny 1949   3  0.667  0.023  0.244  0.5819  0.434  0.50
Czerny 1990   10  0.5944  0.0014  0.0813  0.4647  0.0621  0.17
Duchoud 2007   54  0.4425  0.0055  0.0480  0.0476  0.0383  0.03
Ezaki 2006   6  0.6328  0.0010  0.1110  0.4842  0.1216  0.24
Falvay 1989   83  0.2473  0.0084  0.0384  0.0367  0.0559  0.04
Farrell 1958   48  0.4588  0.0050  0.0560  0.0558  0.0550  0.05
Ferenczy 1958   47  0.4571  0.0042  0.0441  0.1547  0.0639  0.09
Fliere 1977   16  0.5815  0.0123  0.0722  0.3979  0.0332  0.11
Fou 1978   71  0.3418  0.0171  0.0747  0.0758  0.0547  0.06
Francois 1956   38  0.4752  0.0039  0.0640  0.1572  0.0345  0.07
Friedman 1923   1  0.802  0.302  0.701  0.782  0.811  0.79
Friedman 1923b   2  0.791  0.411  0.412  0.772  0.802  0.78
Friedman 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007   66  0.3970  0.0063  0.0552  0.0583  0.0367  0.04
Garcia 2007b   45  0.4639  0.0041  0.0545  0.1266  0.0446  0.07
Gierzod 1998   11  0.5926  0.008  0.109  0.4942  0.1414  0.26
Gornostaeva 1994   24  0.546  0.0222  0.1019  0.4157  0.0429  0.13
Groot 1988   68  0.3776  0.0059  0.0564  0.0587  0.0371  0.04
Harasiewicz 1955   12  0.5923  0.0027  0.0823  0.3864  0.0431  0.12
Hatto 1993   21  0.553  0.0425  0.1121  0.4129  0.1913  0.28
Hatto 1997   15  0.5812  0.0113  0.0812  0.4725  0.258  0.34
Horowitz 1949   46  0.4619  0.0064  0.0846  0.0852  0.0548  0.06
Indjic 1988   20  0.5522  0.0024  0.0720  0.4126  0.2212  0.30
Kapell 1951   30  0.514  0.0216  0.1014  0.4467  0.0428  0.13
Kissin 1993   67  0.3859  0.0068  0.0561  0.0579  0.0365  0.04
Kushner 1989   39  0.4742  0.0061  0.0555  0.0578  0.0361  0.04
Luisada 1991   34  0.4948  0.0046  0.0553  0.0567  0.0453  0.04
Lushtak 2004   25  0.5387  0.0038  0.0734  0.2467  0.0438  0.10
Malcuzynski 1961   37  0.4714  0.0121  0.0732  0.2649  0.0533  0.11
Magaloff 1978   41  0.4724  0.0048  0.0567  0.0568  0.0458  0.04
Magin 1975   50  0.4529  0.0062  0.0749  0.0787  0.0260  0.04
Michalowski 1933   8  0.6116  0.0111  0.108  0.5020  0.406  0.45
Milkina 1970   80  0.2977  0.0081  0.0471  0.0488  0.0378  0.03
Mohovich 1999   59  0.4391  0.0052  0.0474  0.0475  0.0384  0.03
Moravec 1969   74  0.3220  0.0051  0.0565  0.0553  0.0452  0.04
Morozova 2008   23  0.5450  0.0031  0.0831  0.2848  0.0435  0.11
Neighaus 1950   7  0.6211  0.017  0.145  0.5543  0.1115  0.25
Niedzielski 1931   57  0.4421  0.0034  0.0638  0.1841  0.1224  0.15
Ohlsson 1999   32  0.5074  0.0032  0.0733  0.2473  0.0437  0.10
Osinska 1989   28  0.5246  0.0040  0.0639  0.1873  0.0441  0.08
Pachmann 1927   78  0.3035  0.0083  0.0383  0.0377  0.0380  0.03
Paderewski 1930   33  0.505  0.0219  0.0828  0.3028  0.2017  0.24
Perlemuter 1992   61  0.4369  0.0053  0.0479  0.0485  0.0375  0.03
Pierdomenico 2008   77  0.3260  0.0073  0.0475  0.0486  0.0277  0.03
Poblocka 1999   51  0.4449  0.0043  0.0643  0.1572  0.0442  0.08
Rabcewiczowa 1932   26  0.5364  0.0037  0.0736  0.2244  0.1025  0.15
Rachmaninoff 1923   9  0.5933  0.009  0.1011  0.4724  0.267  0.35
Rangell 2001   84  0.2368  0.0080  0.0477  0.0465  0.0385  0.03
Richter 1976   72  0.3356  0.0070  0.0558  0.0561  0.0464  0.04
Rosen 1989   29  0.5134  0.0026  0.0727  0.3147  0.0822  0.16
Rosenthal 1930   40  0.4740  0.0045  0.0842  0.1534  0.2120  0.18
Rosenthal 1931   76  0.3245  0.0075  0.0469  0.0474  0.0381  0.03
Rosenthal 1931b   75  0.3283  0.0074  0.0478  0.0464  0.0472  0.04
Rosenthal 1931c   64  0.3957  0.0067  0.0551  0.0555  0.0473  0.04
Rosenthal 1931d   81  0.2861  0.0079  0.0381  0.0371  0.0486  0.03
Rossi 2007   63  0.4065  0.0072  0.0559  0.0571  0.0456  0.04
Rubinstein 1939   85  0.2285  0.0085  0.0385  0.0388  0.0287  0.02
Rubinstein 1952   88  0.0579  0.0087  0.0289  0.0281  0.0391  0.02
Rubinstein 1966   73  0.3343  0.0076  0.0473  0.0485  0.0382  0.03
Schilhawsky 1960   13  0.5813  0.0117  0.0717  0.4246  0.0919  0.19
Shebanova 2002   65  0.3980  0.0069  0.0650  0.0679  0.0366  0.04
Smith 1975   19  0.5731  0.0020  0.0915  0.4354  0.0523  0.15
Sokolov 2002   55  0.4481  0.0047  0.0554  0.0561  0.0455  0.04
Sztompka 1959   4  0.6438  0.005  0.246  0.5217  0.425  0.47
Tomsic 1995   82  0.2654  0.0082  0.0472  0.0479  0.0379  0.03
Uninsky 1932   18  0.5710  0.014  0.177  0.5113  0.513  0.51
Uninsky 1971   35  0.4989  0.0012  0.0918  0.4236  0.2211  0.30
Wasowski 1980   56  0.4417  0.0149  0.0566  0.0577  0.0454  0.04
Zak 1937   58  0.4475  0.0058  0.0468  0.0469  0.0462  0.04
Zak 1951   52  0.4453  0.0054  0.0556  0.0574  0.0463  0.04
Average   5  0.639  0.016  0.143  0.5973  0.0426  0.15
Random 1   91  -0.2162  0.0091  0.0191  0.0172  0.0389  0.02
Random 2   89  0.0051  0.0089  0.0290  0.0213  0.3543  0.08
Random 3   90  -0.0284  0.0090  0.0288  0.0221  0.2744  0.07

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).